DESCRIPTION

Package: BioCAsia2024wSIR
Title: wSIR: Weighted Sliced Inverse Regression for supervised dimension reduction of spatial transcriptomics and single cell gene expression data
Version: 2.0.1
Authors@R: c(
    person("Max", "Woollard", email = "mwoo5086@uni.sydney.edu.au", 
    role = c("aut", "cre", "ctb"),
    comment=c(ORCID="0009-0000-6319-6926")),
    person("Pratibha", "Panwar", role = c("ctb"), 
    comment = c(ORCID = "0000-0002-7437-7084")),
    person("Linh", "Nghiem", role = c("aut","ctb"),
    comment=c(ORCID = "0000-0003-2874-9067")),
    person("Shila", "Ghazanfar", email = "shazanfar@gmail.com", 
    role = c("aut", "ctb"), comment=c(ORCID="0000-0001-7861-6997"))
    )
Description: In this workshop, we will introduce the wSIR method for supervised dimension reduction of spatial transcriptomics and single-cell gene expression data. We will explain the method, and go through some example analyses to demonstrate how the method is applied. We will also perform some simple analyses to demonstrate its utility. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: 
    wSIR,
    magrittr,
    ggplot2,
    vctrs, 
Suggests: 
    knitr,
    rmarkdown,
    pkgdown
Remotes: SydneyBioX/wSIR
URL: https://github.com/SydneyBioX/BioCAsia_2024_wSIR
BugReports: https://github.com/SydneyBioX/BioCAsia_2024_wSIR/issues/new/choose
VignetteBuilder: knitr
DockerImage: ghcr.io/sydneybiox/BioCAsia2024wSIR:latest